DeepInfra
Affordable inference — open models at some of the lowest per-token prices.
About
DeepInfra (2022) is the value inference platform: open models at very low per-token prices, with a broad catalog (LLMs, image, embeddings) and OpenAI-compatible APIs.
Commercial: usage-based; among the cheapest for open models. The price leader — for high-volume inference on open models where cost matters, DeepInfra is hard to beat. The catalog breadth (including image and embedding models) makes it a one-stop shop.
What it can do
- • Very low per-token prices\n• Broad model catalog\n• LLMs, image, embeddings\n• OpenAI-compatible API\n• Serverless and dedicated
Setup
- Sign up at https://deepinfra.com and get an API key.\n2. Use the OpenAI-compatible endpoint.\n3. Select from the model catalog.
Prerequisites
A DeepInfra account; credits.
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier). Among the cheapest open-model inference with a broad catalog. Docked four points: (1) smaller team; (2) less enterprise polish; (3) price leadership can mean thinner margins; (4) limited differentiation. For cost-sensitive inference.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.0/10
- Maintenance · recency, releases, issue load
- 5.0/10
- Openness · license + docs
- 4.2/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · provider-tier estimate — thinner evidence (no public adoption metric)
- · price leader; broad catalog
- · no release date — neutral maintenance score
- · manual review: smaller team; less enterprise polish; license: proprietary — usage-based; cheapest
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.